Harnessing AI and ML for Enhanced Cyber Defense in Electric Vehicle Security

Abstract-Electric vehicle information security improves through the implementation of AI & ML in automotive sector. A targeted study about data-driven implementations of AI and ML within electric vehicles represents a necessary research need. This paper describes the present situation regarding AI and ML implementations in EVs. Comprehensive analysis of pertinent studies and articles enabled our team to find important content after analyzing how different subjects tie together within these documents. This recent research has shown that AI along with ML technologies increasing appear as critical tools in protecting EV information security through improved authentication sys- tems and better attack detection methods. Table I shows different implementation applications of Machine learning techniques, encompassing deep learning and neural network models while blockchain technology shows increasing applications. The Study data shows the man in middle intrusion detection receives the highest attention at 75% while authentication covers 20% of the literature and prevention takes up only 5%. Deep learning consti- tutes 70% of analyzed works with neural networks representing 15% and remaining studies employing alternative methods..